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Volatility Spillover from Carbon Prices to Stock Prices: Evidence from China’s Carbon Emission Trading Markets

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  • Jinwang Ma

    (College of Business and Public Management, Wenzhou-Kean University, Wenzhou 325060, China)

  • Jingran Feng

    (College of Business and Public Management, Wenzhou-Kean University, Wenzhou 325060, China)

  • Jun Chen

    (College of Business and Public Management, Wenzhou-Kean University, Wenzhou 325060, China)

  • Jianing Zhang

    (College of Business and Public Management, Wenzhou-Kean University, Wenzhou 325060, China
    Quantitative Finance Research Institute, Wenzhou-Kean University, Wenzhou 325060, China)

Abstract

The carbon emission trading markets represent an emerging domain within China. The primary objective of this study is to explore whether carbon price volatility influences stock market volatility among companies subject to these emission trading regulations. Employing daily returns data from 293 publicly traded companies regulated by these emission trading markets, this study encompasses the national carbon market and eight pilot regional carbon markets spanning from August 2013 to October 2023. The results demonstrate that volatility in regional carbon prices positively impacts the stock volatility of companies in the corresponding emission trading region, indicating a volatility spillover effect. Moreover, this spillover effect is more pronounced in sectors marked by lesser carbon intensity than those with greater carbon intensity. The volatility transmission is more pronounced in coastal areas than in inland regions. However, no notable distinctions in volatility transmission are discerned between the periods before and throughout the COVID-19 pandemic. Vector autoregression analyses substantiate that lagged carbon price fluctuations possess limited predictive capacity for contemporaneous equity market volatility and vice versa. The robustness of these outcomes is fortified by applying the E-GARCH model, which accounts for the volatility clustering phenomenon. As the first investigation into the volatility spillover effect between China’s emission trading market and corresponding stock markets, this study offers valuable insights into the investment strategies of retail investors, the formulation of carbon regulations by policymakers, and the carbon emission strategies of corporate managers.

Suggested Citation

  • Jinwang Ma & Jingran Feng & Jun Chen & Jianing Zhang, 2024. "Volatility Spillover from Carbon Prices to Stock Prices: Evidence from China’s Carbon Emission Trading Markets," JRFM, MDPI, vol. 17(3), pages 1-24, March.
  • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:3:p:123-:d:1358823
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    References listed on IDEAS

    as
    1. Fowowe, Babajide & Shuaibu, Mohammed, 2016. "Dynamic spillovers between Nigerian, South African and international equity markets," International Economics, Elsevier, vol. 148(C), pages 59-80.
    2. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    3. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    4. Shehu Usman Rano Aliyu, 2012. "Does inflation have an impact on stock returns and volatility? Evidence from Nigeria and Ghana," Applied Financial Economics, Taylor & Francis Journals, vol. 22(6), pages 427-435, March.
    5. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    6. Officer, R R, 1973. "The Variability of the Market Factor of the New York Stock Exchange," The Journal of Business, University of Chicago Press, vol. 46(3), pages 434-453, July.
    7. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    8. Singh, Priyanka & Kumar, Brajesh & Pandey, Ajay, 2010. "Price and volatility spillovers across North American, European and Asian stock markets," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 55-64, January.
    Full references (including those not matched with items on IDEAS)

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